High-quality patient demographic data are fundamental to accurate patient identification and matching. Similarly, accurate patient identification and matching is pivotal to interoperability, patient safety, and research, such as patient-centered outcomes research (PCOR). With the adoption of rapid developments in health information technology (IT) and advancements in electronic health record (EHR) systems, the scale of growth of the data captured, stored, and exchanged continues to increase. Because of the constant growth in patient populations and their diversity, along with increasing complexity of health care networks, health care staff must have the capabilities and best practices to capture high-quality data on the front line.

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